top of page
Shijin Ramesh
Data Scientist | ML Engineer
Ed-Tech - EDA & Predictive Modeling
Title: Predicting User Subscription Behavior in an EdTech Startup Using Classification Models
Business Question: Can we predict what type of subscription plan a user is most likely to choose based on their learning intent, dancer type, location, and other factors?
The goal of this project is to explore whether it is possible to predict the type of subscription plan a user is likely to choose on the IDALS platform. IDALS is an Indian dance-based ed-tech startup offering various subscription plans to learners based on their goals, experience level, and preferences.
Understanding the likelihood of a user selecting a particular plan helps the business tailor marketing strategies, optimize pricing, and personalize user experience.



bottom of page